基于改进BSMC与ASMO的PMSM无感控制策略研究OA
Research on sensorless control strategy for PMSM based on BSMC and ASMO
永磁同步电机非线性、强耦合和变参数等特性,使得线性PI控制器很难具有良好的控制性能.为了应对PI控制器在永磁同步电机速度控制中动态特性、抗扰动性与鲁棒性不佳的问题,提出一种滑模反演控制器和自适应滑模观测器相结合的控制方法.首先建立永磁同步电机速度控制环非理想运动模型,在此基础上利用虚拟控制量和Lyapunov函数,提出滑模反演速度控制器;其次,为实现无位置传感器控制,引入调节系数与自适应率,提出一种改进的自适应滑模观测器来获取永磁同步电机转速和转子位置;最后,从动态特性、抗扰动性和鲁棒性方面将提出方法与传统PI控制器进行实验对比,结果证明了所提方法性能更优.
Due to the nonlinear,strongly coupling,and variable parameter characteristics of permanent-magnet synchronous motors(PMSM),it is difficult for PI controller to achieve excellent control performance.In order to address the poor dynamics,anti-disturbance,and robustness in the speed control of PMSM with PI controller,a control approach combining backstepping sliding mode controller(BSMC)and adaptive sliding mode observer(ASMO)is proposed.A non-ideal motion model for the speed control loop of PMSM is established.On this basis,a BSMC is proposed by means of virtual control variables and Lyapunov functions.In order to realize the sensorless control,the adjustment coefficients and adaptive rates are introduced,an improved adaptive sliding mode observer is proposed to obtain the speed and rotor position of the PMSM.The experimental comparison of the proposed method is conducted with the traditional PI controller in terms of dynamic characteristics,anti-disturbance performance,and robustness,and the results show that the proposed method has better performance.
杨鑫程;陈兮;王海港;张思远;黄声华
湖北师范大学 电气工程与自动化学院,湖北 黄石 435002湖北师范大学 电气工程与自动化学院,湖北 黄石 435002湖北师范大学 电气工程与自动化学院,湖北 黄石 435002湖北师范大学 电气工程与自动化学院,湖北 黄石 435002华中科技大学 电气与电子工程学院,湖北 武汉 430074
信息技术与安全科学
永磁同步电机无位置控制滑模反演控制器自适应滑模观测器PI控制器控制性能
permanent magnet synchronous motorsensorless controlbackstepping sliding mode controladaptive sliding mode observerPI controllercontrol performance
《现代电子技术》 2026 (4)
79-84,6
国家自然科学基金青年基金项目(62303169)湖北省自然科学基金一般面上项目(2024AFB753)
评论